A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
In this paper we provide a bridge between the infinite state models used in control theory to describe the evolution of continuous physical processes and the finite state models ...
— Lack of complete formal specification is one of the major obstacles for the deployment of model checking. Coverage estimation addresses this issue by revealing the unverified...
We propose a symbolic algorithm for the analysis of the robustness of timed automata, that is the correctness of the model in presence of small drifts on the clocks or imprecision ...
How to price options efficiently and accurately is an important research problem. Options can be priced by the lattice model. Although the pricing results converge to the theoreti...